Add to ORKGIn this paper, we propose and demonstrate a new methodology to stabilize systems with complex dynamics like the supply chain. This method is based on the Accumulated Deviations from Equilibrium (ADE). It is most beneficial for controlling system dynamic models characterized by multiple types of delays, many interacting variables, and feedback processes. We employ Particle Swarm Optimization as the optimization approach due to its performance in multi-dimensional space, stochastic properties, and global reach. We demonstrate the effectiveness of our method using a manufacturing-supply-chain case study. ©2009 IEEE
The aim of this paper is to address the dilemma of supply chain management (SCM) within a truly Pare...
Effectively managing a supply chain requires visibility to detect unexpected variations in the dynam...
This paper models a supply chain problem and employs simulation-based optimization to analyze it. Th...
We propose and demonstrate a new methodology to stabilize systems with complex dynamics like the sup...
Supply Chain Management (SCM) has raised attention in recent years. Successful SCM depends on how we...
In today\u27s world, supply chains are facing market dynamics dominated by strong global competition...
Since supply chains highly impact the financial performance of companies, it is important to optimiz...
In this paper, we propose a closed-loop supply chain network configuration model and a solution meth...
Spare parts are the critical operation asset for ensuring a production line keeps going, which signi...
A supply chain is a complex network which involves the products, services and information flows betw...
We develop a methodology to investigate optimal dynamic policies for a large class of supply network...
Purpose: This paper aims to optimise the dynamic performance of production–inventory control systems...
Abstract. We propose a general methodology based on robust optimization to address the problem of op...
We propose a general methodology based on robust optimization to address the problem of optimally co...
This paper focuses on the batching delivery problem with soft time windows and its impact on the dem...
The aim of this paper is to address the dilemma of supply chain management (SCM) within a truly Pare...
Effectively managing a supply chain requires visibility to detect unexpected variations in the dynam...
This paper models a supply chain problem and employs simulation-based optimization to analyze it. Th...
We propose and demonstrate a new methodology to stabilize systems with complex dynamics like the sup...
Supply Chain Management (SCM) has raised attention in recent years. Successful SCM depends on how we...
In today\u27s world, supply chains are facing market dynamics dominated by strong global competition...
Since supply chains highly impact the financial performance of companies, it is important to optimiz...
In this paper, we propose a closed-loop supply chain network configuration model and a solution meth...
Spare parts are the critical operation asset for ensuring a production line keeps going, which signi...
A supply chain is a complex network which involves the products, services and information flows betw...
We develop a methodology to investigate optimal dynamic policies for a large class of supply network...
Purpose: This paper aims to optimise the dynamic performance of production–inventory control systems...
Abstract. We propose a general methodology based on robust optimization to address the problem of op...
We propose a general methodology based on robust optimization to address the problem of optimally co...
This paper focuses on the batching delivery problem with soft time windows and its impact on the dem...
The aim of this paper is to address the dilemma of supply chain management (SCM) within a truly Pare...
Effectively managing a supply chain requires visibility to detect unexpected variations in the dynam...
This paper models a supply chain problem and employs simulation-based optimization to analyze it. Th...